41 research outputs found
Monitoring pro-cyclicality under the capital requirements directive : preliminary concepts for developing a framework
This paper provides an overview of the questions that will need to be addressed in order to determine whether increased cyclicality in capital requirements will exacerbate the pro-cyclicality in the financial system. Many central banks have raised concerns about the potential cost of procyclicality that could come with the Basel II framework, which will be implemented in the EU via the Capital Requirements Directive (CRD). Previous capital adequacy rules required banks to hold a minimum amount of capital for each loan, regardless of the different risks involved. The main objective of the Basel II framework/CRD is to make capital requirements more risk-sensitive. Therefore, by construction, the capital requirements under the CRD will be more cyclical than under the previous rules. This raises two questions. First, does it matter whether regulatory capital requirements fluctuate more than before if banksâ (lending) behaviour is driven by other capital considerations (for example economic capital) ? Second, if it does matter, what impact will this have on the economic cycle?Basel II/CRD, pro-cyclicality
Sector concentration in loan portfolios and economic capital
The purpose of this paper is to measure the potential impact of business-sector concentration on economic capital for loan portfolios and to explore a tractable model for its measurement. The empirical part evaluates the increase in economic capital in a multi-factor asset value model for portfolios with increasing sector concentration. The sector composition is based on credit information from the German central credit register. Finding that business sector concentration can substantially increase economic capital, the theoretical part of the paper explores whether this risk can be measured by a tractable model that avoids Monte Carlo simulations. We analyze a simplified version of the analytic value-at-risk approximation developed by Pykhtin (2004), which only requires risk parameters on a sector level. Sensitivity analyses with various input parameters show that the analytic approximation formulae perform well in approximating economic capital for portfolios which are homogeneous on a sector level in terms of PD and exposure size. Furthermore, we explore the robustness of our results for portfolios which are heterogeneous in terms of these two characteristics. We find that low granularity ceteris paribus causes the analytic approximation formulae to underestimate economic capital, whereas heterogeneity in individual PDs causes overestimation. Indicative results imply that in typical credit portfolios, PD heterogeneity will at least compensate for the granularity effect. This suggests that the analytic approximations estimate economic capital reasonably well and/or err on the conservative side. --sector concentration risk,economic capital
Sector Concentration in Loan Portfolios and Economic Capital
The purpose of this paper is to measure the potential impact of business-sector concentration on economic capital for loan portfolios and to explore a tractable model for its measurement. The empirical part evaluates the increase in economic capital in a multi-factor asset value model for portfolios with increasing sector concentration. The sector composition is based on credit information from the German central credit register. Finding that business sector concentration can substantially increase economic capital, the theoretical part of the paper explores whether this risk can be measured by a tractable model that avoids Monte Carlo simulations. We analyze a simplified version of the analytic value-at-risk approximation developed by Pykhtin (2004), which only requires risk parameters on a sector level. Sensitivity analyses with various input parameters show that the analytic approximation formulae perform well in approximating economic capital for portfolios which are homogeneous on a sector level in terms of PD and exposure size. Furthermore, we explore the robustness of our results for portfolios which are heterogeneous in terms of these two characteristics. We find that low granularity ceteris paribus causes the analytic approximation formulae to underestimate economic capital, whereas heterogeneity in individual PDs causes overestimation. Indicative results imply that in typical credit portfolios, PD heterogeneity will at least compensate for the granularity effect. This suggests that the analytic approximations estimate economic capital reasonably well and/or err on the conservative side.sector concentration risk, economic capital
SMEs and Bank Lending Relationships: the Impact of Mergers
This paper studies the impact of bank mergers on firm-bank lending relationships using information from individual loan contracts in Belgium. We analyse the effects of bank mergers on the probability of borrowers maintaining their lending relationships and on their ability to continue tapping bank credit. The environment reflects a number of interesting features: high banking sector concentration; \u201Cin-market\u201D mergers with large target banks; importance of large banks in providing external finance to SMEs; and low numbers of bank lending relationships maintained by SMEs. We find that bank mergers generate short-term and longer-term effects on borrowers' probability of losing a lending relationship. Mergers also have heterogeneous impacts across borrower types, including borrowers of acquiring and target banks, borrowers of differing size, and borrowers with single versus multiple relationships. Firms borrowing from acquiring banks are less likely to lose their lending relationship, while target bank borrowers are more likely to lose their relationship. Firms borrowing from two of the merging banks are less likely to lose their relationship than firms borrowing from only one of the merging banks or firms borrowing from nonmerging banks.loans, bank mergers, bank relationships, credit register
Staying, dropping, or switching : the impacts of bank mergers on small firms
Assessing the impacts of bank mergers on small firms requires separating borrowers with single versus multiple banking relationships and distinguishing the three alternatives of "staying," "dropping," and "switching" of relationship. Single-relationship borrowers who "switch" to another bank following a merger will be less harmed than those whose relationship is "dropped" and not replaced. Using Belgian data, we find that single-relationship borrowers of target banks are more likely than other borrowers to be dropped. We track post-merger performance and show that many dropped target-bank borrowers are harmed by the merger. Multiple-relationship borrowers are less harmed, as they can better hedge against relationship discontinuationsBank mergers, bank lending relationships, SME loans